# symbox

##### Boxplots for transformations to symmetry

`symbox`

first transforms `x`

to each of a series
of selected powers, with each transformation standardized to mean 0 and
standard deviation 1. The results are then displayed side-by-side in boxplots, permiting
a visual assessment of which power makes the distribution reasonably symmetric.

- Keywords
- hplot

##### Usage

```
symbox(x, ...)
# S3 method for formula
symbox(formula, data=NULL, subset, na.action=NULL, ylab, ...)
# S3 method for default
symbox(x, powers = c(-1, -0.5, 0, 0.5, 1), start=0,
trans=bcPower, xlab="Powers", ylab, ...)
```

##### Arguments

- x
a numeric vector.

- formula
a one-sided formula specifying a single numeric variable.

- data, subset, na.action
as for statistical modeling functions (see, e.g.,

`lm`

).- xlab, ylab
axis labels; if

`ylab`

is missing, a label will be supplied.- powers
a vector of selected powers to which

`x`

is to be raised. For meaningful comparison of powers,`1`

should be included in the vector of powers.- start
a constant to be added to

`x`

.- trans
a transformation function whose first argument is a numeric vector and whose second argument is a transformation parameter, given by the

`powers`

argument; the default is`bcPower`

, and another possibility is`yjPower`

.- …
arguments to be passed down.

##### Value

as returned by `boxplot`

.

##### References

Fox, J. and Weisberg, S. (2019)
*An R Companion to Applied Regression*, Third Edition. Sage.

##### See Also

##### Examples

```
# NOT RUN {
symbox(~ income, data=Prestige)
# }
```

*Documentation reproduced from package car, version 3.0-0, License: GPL (>= 2)*